Paper Details: Downloads: 390
Serial Number: P1140619001
Title: ADAPTIVE FLOW SAMPLING FOR SELF-SIMILAR TRAFFIC MEASUREMENT
Authors: Altyeb Altaher Altyeb and Sami Mohamed Sharif and Iman Abuel Maaly and Hassan Ibrahim Saleh
Abstract: Previous studies of Internet traffic have shown that a very small percentage of flows consume most of the network bandwidth. It is important to take such flows into account when measuring the network traffic self-similarity. This paper proposes a traffic measurement algorithm for self similar traffic: Adaptive sampling algorithm. This algorithm uses multistage filters and adaptation mechanism to concentrate on large flows. Using analysis and simulation, this algorithm is shown to effectively reflect the bursts of self-similar traffic over multiple time scales and can improve accuracy when network flows are self-similar.
Keywords: Traffic measurement ,network traffic self-similarity, traffic sampling
Journal/Conference: International Journal of Computer Networks and Internet Research
Volume: 5
Issue: 2
Submission Date: 4/1/2006 12:00:00 AM
Review Date: 5/1/2006 12:00:00 AM
Publishing Date: 6/1/2006 12:00:00 AM
Article Downloads: 390
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